Developmental Dynamics of Naturalistic Social Behavior Revealed by Longitudinal Multi-Animal Tracking
Kim, S.; Jeong, Y.; Lin Thant, H.; Choi, H.; Chung, A.
Show abstract
Early-life social experiences with parents and littermates are critical for the development of social behavior and cognition in social species. Yet, how naturalistic social interactions evolve across development remains poorly understood, because reliable tracking of multiple freely interacting animals is challenged by frequent occlusion and body overlap. To address this challenge, we developed Move-Altogether (MovAl), a multi-animal pose estimation pipeline integrating video object segmentation and contour-guided preprocessing that improved identity stability and pose accuracy compared with widely used methods. Using MovAl-derived pose sequences, we established a denoising autoencoder (DAE)-based framework to map longitudinal home-cage behavior within a common three-dimensional space defined by inter-animal spacing, social orientation, and interaction dynamics. Within this space, control mice showed progressive reorganization of group behavior from 3 to 8 weeks of age, establishing a developmental reference for naturalistic social organization. Against this reference, prenatal valproic acid (VPA) exposure produced prominent alterations in social behavior organization at 3-5 weeks of age, demonstrating that the consequences of neurodevelopmental perturbation can be detected through changes in naturalistic group behavior among littermates. Extending the analysis to preweaning mother-pup interactions revealed increased maternal movement and reduced mother-pup proximity in the VPA condition, indicating alterations in the early social environment that preceded postweaning behavioral differences. These findings suggest that quantitative characterization of early social interactions may provide a means to identify early behavioral alterations associated with atypical neurodevelopment. Together, the MovAl-DAE framework enables longitudinal quantification of naturalistic social behavior, defining its developmental organization and revealing alterations associated with neurodevelopmental perturbation.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- An Open-Source Tool for Automated Human-Level Circling Behavior Detection 93%
- Repurposing a digital kitchen scale for neuroscience research: a complete hardware and software cookbook for PASTA 92%
- ASAP: An automatic sustained attention prediction method for infants and toddlers using wearable device signals 91%
Similar papers in this journal
- Motile Living Biobots Self-Construct from Adult Human Somatic Progenitor Seed Cells 89%
- Single-cell metabolic imaging and digital scoring of fat tissue remodeling by label-free metabolic imaging 89%
- An open-source pipeline for calcium imaging and all-optical physiology in human stem cell-derived neurons 89%
Similar papers in this journal
- Social and asocial learning in zebrafish are encoded by a shared brain network that is differentially modulated by local activation 93%
- High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae 91%
- Unsupervised decomposition of natural monkey behavior into a sequence of motion motifs 90%
Similar papers in this journal
- Assessing Attentiveness and Cognitive Engagement across Tasks using Video-based Action Understanding in Non-Human Primates 92%
- ReachingBot: an automated and scalable benchtop device for highly parallel Single Pellet Reach-and-Grasp training and assessment in mice 91%
- A novel naive Bayes approach to identifying grooming behaviors in the force-plate actometric platform 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.